Abstract: A display apparatus and a method for processing audio are provided, the display apparatus includes a circuit board provided with a hybrid circuit, a filter circuit and a speaker; the hybrid circuit is configured to receive an original audio signal and superpose a first sub-signal of the original audio signal on a second sub-signal of the original audio signal to obtain a hybrid audio signal; the first sub-signal includes at least one channel of audio signal, the second sub-signal includes at least two channels of audio signal; the filter circuit is configured to filter the hybrid audio signal according to a frequency characteristic of the first sub-signal and the second sub-signal to obtain a restored original audio signal; and the speaker, connected with the filter circuit, is configured to output the restored original audio signal.

Abstract: A method for controlling an electronic apparatus includes storing a plurality of artificial intelligence models in a first memory, based on receiving a control signal for loading a first artificial intelligence model among the plurality of stored artificial intelligence models into a second memory, identifying an available memory size of the second memory, and based on a size of the first artificial intelligence model being larger than the available memory size of the second memory, obtaining a first compression artificial intelligence model by compressing the first artificial intelligence model based om the available memory size of the second memory, and loading the first compression artificial intelligence model into the second memory.

Abstract: A system and method for use of a public address pause module with an onboard entertainment system of an aircraft cabin. The module includes a connector for connecting the module to an aircraft public address speaker and an audio detection circuit connected with respect to the connector. A micro controller unit is connected with respect to the audio detection circuit to determine whether a measured voltage of the public address speaker exceeds a pre-set threshold for a pre-determined time period and to generate a pause signal. A wireless transmitter communicates the pause signal to the onboard entertainment system thereby pausing the onboard entertainment system during onboard use of the public address speaker.

Abstract: Embodiments of systems and methods for intelligently selecting audio signatures based upon context information to perform management actions are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: select, based upon context information, a subset of a plurality of audio signatures, compare a received audio input to at least one audio signature among the subset of audio signatures to the exclusion of any other audio signature of the plurality of audio signatures, and, in response to the comparison indicating a match, perform one or more management actions.

Abstract: A method for text sequence style transfer by two encoder-decoders, including generating, by a first encoder-decoder network model, an output sequence based on a first input sequence and an input sequence style, wherein the output sequence is associated with a second sequence, generating, by a second-encoder decoder network model, a prediction of the first input sequence based on the first input sequence, the output sequence, and a first input sequence style associated with the first input sequence, generating, by a classifier, a prediction of the first input sequence style based on the prediction of the first input sequence, and updating the neural network model based on comparisons between the output sequence and the second sequence, between the prediction of the first input sequence and the first input sequence, and between the prediction of the first input sequence style and the first input sequence style.

Abstract: A method and a dishwasher capable of analyzing the closure state of the filter of the dishwasher by using a deep neural network model trained through machine learning of artificial intelligence is provided. The dishwasher may include a microphone configured to obtain a drainage sound signal generated by draining washing water through the filter during operation of the dishwasher, a processor configured to analyze the degree of closure of the filter based on the drainage sound signal, and an alarm generator configured to generate an alarm if the degree of closure is a greater than or equal to a predetermined level. The operational state of the dishwasher may be analyzed based on a drainage sound of the washing water drained to the filter by the degree of closure of the filter.

Abstract: Disclosed are a terminal, an operating method thereof, and a computer-readable recording medium. The operating method includes establishing a video call session between a first terminal and a second terminal, receiving, by the second terminal, data obtained by the first terminal, sequentially storing, by the second terminal, the data received from the first terminal in a buffer size, performing, by the second terminal, a validity check on the data stored in the buffer, and processing, by the second terminal, the data in response to a result of the validity check.

Abstract: The audio processing method may include: utilizing a first convolution layer circuit and a second convolution layer circuit to perform convolution processing on an audio mixture signal, respectively, in order to generate an input feature map; performing separation processing corresponding to a predetermined neural network model on the input feature map to obtain a first output feature map and a second output feature map respectively corresponding to a first type and a second type; and utilizing a first deconvolution layer circuit and a second deconvolution layer circuit to perform deconvolution processing on different portions of the first output feature map, respectively, and utilizing the first deconvolution layer circuit and the second deconvolution layer circuit to perform deconvolution processing on different portions of the second output feature map, respectively, in order to generate corresponding processing results, for generating multiple audio output signals.

Abstract: A system for detecting medical audio alarms. The system includes a detector and a server. The detector further comprises a microphone that is configured to receive a sound of the alarm; a microcontroller configured to determine an alarm pattern from the sound and to compare the determined alarm pattern to a plurality of patterns stored in a memory to identify a cause of the alarm; and a network interface configured to transmit the cause of the alarm. The server is configured receive the cause of the alarm and provide notification of the cause of the alarm.

Abstract: A system and methods for machine anomaly and behavior classification is provided. An audio capture device may attach to a mechanical apparatus comprising a first component and a second component. The first component and second component may separately generate audible noise. The capture device may include a body, a diagraph disposed in the body, and a microphone. The diagraph may vibrate in response to sound generated by the mechanical device. The microphone may generate a signal in response audio caused by the vibrating diagram. The system may receive the signal generated by the microphone of the audio capture device. The system may determine, based on a machine learning model and the signal, an anomalous event associated with the first component, a second component, or a combination thereof. Alternatively, or in addition, the system may classify operation of the machine based on second machine learning model.

Abstract: A mechanism is described for facilitating display-based audio splitting in media environments, according to one embodiment. A method of embodiments, as described herein, includes receiving, at a computing device, a request to split audio streams associated with audio channels in communication with the computing device serving as a host device, wherein the audio streams are generated by one or more applications; selecting a split mode to facilitate splitting of the audio streams; and splitting the audio streams based on the split mode such that the audio streams are continuously mapped to the audio channels to adjust for delays and fine tuning.

Abstract: The audio processing system includes a memory to store a neural network trained to process an audio mixture to output estimation of at least a subset of a set of audio sources present in the audio mixture. The audio sources are subject to hierarchical constraints enforcing a parent-children hierarchy on the set of audio sources, such that a parent audio source in includes a mixture of its one or multiple children audio sources. The subset includes a parent audio source and at least one of its children audio sources. The system further comprises a processor to process a received input audio mixture using the neural network to estimate the subset of audio sources and their mutual relationships according to the parent-children hierarchy. The system further includes an output interface configured to render the extracted audio sources and their mutual relationships.

Abstract: There is a need for more accurate and more efficient hybrid-input prediction steps/operations. This need can be addressed by, for example, techniques for efficient joint processing of data objects. In one example, a method includes: processing an audio data object using an audio processing machine learning model to generate an audio-based feature data object, processing an acceleration data object using an acceleration processing machine learning model to generate an acceleration-based feature data object, processing the audio-based feature data object and the acceleration-based feature data object using an feature synthesis machine learning model in order to generate a hybrid-input prediction data object; and performing one or more prediction-based actions based at least in part on the hybrid-input prediction data object.

Abstract: An audio system that includes an IMU or accelerometer in physical proximity to a microphone and a driver. The signal generated by the IMU or accelerometer may be used to filter the audio signal generated by the microphone with respect to mechanically coupling between the driver outputting sound and the microphone via a shared structure. In some cases, an accelerometer may be incorporated into a package of the microphone to provide analog-based filtering prior to converting the audio signal of the microphone to a digital format.

Abstract: A camera system for extracting a sound of a specific area includes: a camera device configured to receive video signals and audio signals from an area; at least one memory configured to store information about the area including data corresponding to the video signals and the audio signals from the area; and a processor configured to change an audio zooming point of the camera device from a first point, in an image of the area captured by the camera device, to a second point based on the information about the area, and perform a beam-forming on an audio signal corresponding to the second point.

Abstract: Methods and computer-readable media for repeated holdout validation include collecting independent data representing independent variables; collecting dependent data representing a dependent variable; correlating the independent data with the dependent data; creating a data set comprising the correlated independent and dependent data; generating a plurality of unique seeds; creating a plurality of training sets and a plurality of validation sets; associating each training set with a single validation set; training the neural network a plurality of times with the training sets and seeds to create a plurality of models; calculating accuracy metric values for the models using the validation sets associated with the training sets used to create respective models; performing a statistical analysis of the accuracy metric values; and ranking the independent variables by a strength of correlation of individual independent variables with the dependent variable, when a metric of the statistical analysis exceeds a thres

Abstract: The present invention provides a deep learning based method and system for processing sound quality characteristics. The method comprises: obtaining data characteristics of an audio data to be processed by extracting features from user preference data including the audio data to be processed; based on the data characteristics, generating a sound quality processing result of the audio to be processed by using a trained baseline model; wherein the baseline model is a neural network model trained by using audio data behavioral data, and other relevant data from multiple users or a single user.

Abstract: A ground environment detection method and apparatus are disclosed, where the method includes: scanning a ground environment by using laser sounding signals having different operating wavelengths, receiving a reflected signal that is reflected back by the ground environment, determining scanning spot information of each scanning spot of the ground environment based on the reflected signal, determining space coordinate information and a laser reflection feature of each scanning spot based on each piece of scanning spot information, partitioning the ground environment into sub-regions having different laser reflection features, and determining a ground environment type of each sub-region.

Abstract: The audio content (e.g., an audio track, an audio file, an audio signal, etc.) of a content item (e.g., multimedia content, a movie, streaming content, etc.) may be modified to augment and/or include one or more auditory events, such as a sound, a plurality of sounds, a sound effect(s), a voice(s), and/or music.

Abstract: An audio output device includes a first communication interface configured to receive a first digital signal from an electronic device and transmit a second digital signal to the electronic device; at least one processor configured to convert the received first digital signal into a first analog signal and convert a second analog signal into the second digital signal; and a frequency modulation (FM) antenna configured to obtain FM signals to output the FM signals to the electronic device through the first communication interface. A ground terminal of the at least one processor is connected to a first terminal of the first communication interface, the FM antenna is connected to a second terminal of the first communication interface, and the FM signals are transmitted from the FM antenna to the second terminal of the first communication interface.